IET Systems Biology

Papers
(The TQCC of IET Systems Biology is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Identifying driver modules based on multi‐omics biological networks in prostate cancer36
Transcriptome sequencing and metabolome analysis to reveal renewal evidence for drought adaptation in mulberry24
Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression12
A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer12
Predictor‐Based Output Feedback Control of Tumour Growth With Positive Input: Application to Antiangiogenic Therapy10
High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry10
PPDTS: Predicting potential drug–target interactions based on network similarity9
Transcriptome Analyses Reveal the Important miRNAs Involved in Immune Response of Gastric Cancer9
iGATTLDA: Integrative graph attention and transformer‐based model for predicting lncRNA‐Disease associations8
Human essential gene identification based on feature fusion and feature screening7
Identification and analysis of epithelial‐mesenchymal transition‐related key long non‐coding RNAs in hypospadias7
7
Disrupted myelination network in the cingulate cortex of Parkinson's disease6
Robust positive control of tumour growth using angiogenic inhibition6
Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease6
6
Identification of toll‐like receptor 5 and acyl‐CoA synthetase long chain family member 1 as hub genes are correlated with the severe forms of COVID‐19 by Weighted gene co‐expression network analysis6
SRAS‐net: Low‐resolution chromosome image classification based on deep learning6
Cuproptosis‐related lncRNAs are correlated with tumour metabolism and immune microenvironment and predict prognosis in pancreatic cancer patients5
Genes associated with diagnosis and prognosis of Burkitt lymphoma5
Identification of HIBCH and MGME1 as Mitochondrial Dynamics‐Related Biomarkers in Alzheimer's Disease Via Integrated Bioinformatics Analysis5
Comprehensive analysis of LILR family genes expression and tumour‐infiltrating immune cells in early‐stage pancreatic ductal adenocarcinoma4
Machine learning unveils RNA polymerase II binding as a predictor for SMAD2‐dependent transcription dynamics in response to Actvin signalling4
SpaGraphCCI: Spatial cell–cell communication inference through GAT‐based co‐convolutional feature integration4
Identification of molecular subtypes of ischaemic stroke based on immune‐related genes and weighted co‐expression network analysis3
DNA methylation plays important roles in lifestyle transition of Arthrobotrys oligospora3
Adjusting laser power to control the heat generated by nanoparticles at the site of a patient's cells3
3
Comprehensive analysis of alternative splicing signatures in pancreatic head cancer3
Gene signatures of endoplasmic reticulum stress and mitophagy for prognostic risk prediction in lung adenocarcinoma3
3
StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach3
3
Anoikis‐related genes as potential prognostic biomarkers in gastric cancer: A multilevel integrative analysis and predictive therapeutic value3
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